
비기너를 위한 하루 30분 SQL
알파코
데이터 분석에서 빠지지 않는 SQL. 도대체 무엇이고, 왜 중요할까요? 입문자들이라면 여기서 확인해보세요!
입문
SQL, MySQL
Learn how to work efficiently using Python, a basic programming language.
Concepts and characteristics of data and data analysis
Learning the basic structure of Pandas series and data frames and utilizing them for data analysis
Learning and using regression analysis visualization and correlation visualization
Simple data analysis,
Anyone should be able to do it 📊
Artificial intelligence, big data, AI, and other technologies that once seemed like a distant future have become a significant part of our daily lives. In this era, what if we became active data handlers, rather than passive recipients ? Learning how to derive useful information through data analysis will go beyond simply keeping up with the digital landscape; it will truly elevate our capabilities .
In this course, you'll learn how to utilize Python , the most fundamental programming language, as a data analysis tool to efficiently handle tasks. Specifically, you'll learn how to easily understand public data, accurately analyze and process it , and improve work efficiency .
This course's unique features ✨
Data analysis refers to extracting useful information from data through a specific analytical process. We will learn some of the steps involved : data preprocessing, exploratory data analysis, data visualization, and co-analysis .
Those who understand the basics of Python
Those who want to apply data analysis in practice
Anyone who wants to understand the entire process of data analysis
Anyone who wants to become familiar with data analysis
Q. Can I take the course even if I don't know Python?
This course is recommended for those who understand the basics of Python. It utilizes Python, one of the few programming languages capable of efficiently handling the entire process from data collection to AI. It's ideal for beginners with basic knowledge rather than beginners.
Q. What is the most effective way to take the course?
We recommend that you download the lecture notes and data for each class, attend the lecture, follow along, and practice repeatedly to organize the concepts.
Who is this course right for?
For those who want to use data analysis in practice
For those who want to understand the entire process of data analysis
For those who want to learn the basics of data visualization using Python
Need to know before starting?
Python Basics
All
20 lectures ∙ (7hr 38min)
Course Materials:
14. Data Combination
17:56
$236.50
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